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Proceedings Paper

Application of data mining in science and technology management information system based on WebGIS
Author(s): Xiaofang Wu; Zhiyong Xu; Shitai Bao; Feixiang Chen
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Paper Abstract

With the rapid development of science and technology and the quick increase of information, a great deal of data is accumulated in the management department of science and technology. Usually, many knowledge and rules are contained and concealed in the data. Therefore, how to excavate and use the knowledge fully is very important in the management of science and technology. It will help to examine and approve the project of science and technology more scientifically and make the achievement transformed as the realistic productive forces easier. Therefore, the data mine technology will be researched and applied to the science and technology management information system to find and excavate the knowledge in the paper. According to analyzing the disadvantages of traditional science and technology management information system, the database technology, data mining and web geographic information systems (WebGIS) technology will be introduced to develop and construct the science and technology management information system based on WebGIS. The key problems are researched in detail such as data mining and statistical analysis. What's more, the prototype system is developed and validated based on the project data of National Natural Science Foundation Committee. The spatial data mining is done from the axis of time, space and other factors. Then the variety of knowledge and rules will be excavated by using data mining technology, which helps to provide an effective support for decisionmaking.

Paper Details

Date Published: 14 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749216 (14 October 2009); doi: 10.1117/12.837340
Show Author Affiliations
Xiaofang Wu, South China Agricultural Univ. (China)
Zhiyong Xu, Bureau of Urban Utilities and Landscaping of Guangzhou Municipality (China)
Shitai Bao, South China Agricultural Univ. (China)
Feixiang Chen, South China Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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